run-llama/liteparse-cloudflare-worker-quickstart — explained in plain English
Analysis updated 2026-05-18
Deploy a serverless endpoint that extracts text and page count from an uploaded PDF.
Run PDF parsing on Cloudflare's edge network without provisioning a server.
Use as a starting template to build a custom document-processing worker.
| run-llama/liteparse-cloudflare-worker-quickstart | ahmedhazem02/fifa-world-cup-2026-prediction-agent | debimbo/peace-equalizer-apo | |
|---|---|---|---|
| Stars | 34 | 34 | 34 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 2/5 | 3/5 | 2/5 |
| Audience | developer | general | general |
Figures from each repo's GitHub metadata at analysis time.
Requires Node.js 18+ and a logged-in Wrangler CLI tied to a Cloudflare account.
This is a starter template for deploying LiteParse, a PDF text extractor, on Cloudflare Workers. LiteParse runs a Rust-based parser compiled to WebAssembly, which means PDF processing happens directly on Cloudflare's global edge network rather than on a server you provision or maintain. The practical effect is that you can pull text out of PDF documents without managing any backend infrastructure. To get started locally, you install the project's dependencies and run a development server. You then send a PDF file as the raw body of a POST request and receive a JSON response containing the extracted text and the page count. When ready to publish, a single deploy command pushes the worker to Cloudflare. The project structure is small. One TypeScript file receives incoming requests, feeds the PDF bytes to the WebAssembly parser, and returns the JSON result. A compiled WebAssembly binary ships with the template, and a Wrangler configuration file tells the bundler how to include it. Wrangler is Cloudflare's command-line tool for building and deploying workers. Setup requires Node.js 18 or newer and a logged-in Wrangler installation tied to a Cloudflare account. No separate server, database, or container is involved. The README walks through prerequisites, the local development workflow, the request format, deployment, and the three files that make up the project. The README is intentionally brief and covers only the mechanics of running and deploying the template. It does not address production concerns such as authentication, rate limits, or handling large PDF files.
A starter template for extracting text from PDFs on Cloudflare's edge network using LiteParse, with no server to manage.
Mainly TypeScript. The stack also includes TypeScript, Cloudflare Workers, WebAssembly.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.